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Image Classification on MNIST ε=0.3 (test)

98.85Standard AccuracyAD-CERT
98.444498.549798.65598.7603Jun 30, 2026

Evaluation results

MethodLinks
AD-CERTε=0.32026.0698.8593.98
MTL-IBPε=0.32026.0698.7493.9
SABRε=0.32026.0698.6693.68
TAPS/STAPSε=0.3, Selection protocol=Stronger of TAPS and STAPS based on certified accuracy2026.0698.5693.95
IBPε=0.32026.0698.5493.8
SORTNETε=0.3, Architecture=Non-ReLU-based2026.0698.4693.4